Analysis of obstructive sleep apnea, diabetes mellitus type 2, and prediabetes at dr. Cipto Mangunkusumo hospital using partial least squares

Abstract

This research aims to know the relationship model of OSA, DM type 2, and prediabetes simultaneously. Data used in this research is primary data which obtained by direct examination to patients with OSA at RSCM. The sampling method used in this research is non-probability sampling, with the number of samples is 205 patients. Partial Least Squares (PLS) method is used to obtain the purpose of this research. OSA, DM type 2, and prediabetes are dependent variables. Moreover, the independent variables are gender, age, blood pressure, obesity, and sleep hygiene. The risk of OSA is determined using the Berlin Questionnaire. DM type 2 and prediabetes are determined using fasting blood glucose (FBG). Using significance 0.1, we prove that OSA is directly affected by obesity and sleep hygiene. DM type 2 is directly affected by prediabetes, and indirectly affected by gender, age, obesity, and OSA. Gender, age, and OSA have direct effect to prediabetes, meanwhile, sleep hygiene has indirect effect to prediabetes. While obesity has direct and indirect effect to prediabetes, through OSA.